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Language Skills

R
SQL
Python
Bash
Java
SAS
Javascript (d3.js)

More info

See full CV at christopherteixeira.com/cv for more complete list of positions and publications.

Disclaimer

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Source code: github.com/ct-analytics/Resume.

Last updated on 2019-10-31.

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Christopher M. Teixeira

I have supported a variety of federal and commercial customers over my career. The common theme across my career is using data to support decision making amongst my customers. Traditionally, this means being able to understand how it was collected and its weaknesses, adding value through incorporation into a model, and communicating it through a medium like interactive visualizations.

Education

M.S., Operations Research

George Mason University

Fairfax, VA

2010 - 2008

  • Concentration in Decision Analysis
  • Capstone project using Integer Programming

B.S., Mathematics

Worcester Polytechnic Institute

Worcester, MA

2006 - 2002

  • Focus in Applied Statistics and Probability
  • Capstone project using Factor Analysis, PCA, and logistic regression

Work Experience

Principal Data Scientist

MITRE

Bedford, MA

2019 - 2014

  • Responsible for quality of deliverables from the Model-Based Analytics Department
  • Principal Investigator for Child Welfare related projects
  • Lead a team of 15 data scientists to explore opioid prescribing behaviors

Senior Analytics Consultant

Epsilon

Wakefield, MA

2014 - 2012

  • Support a variety of analytics based projects using R, Python, SAS, and SQL
  • Serve as a subject matter expert in Natural Language Processing and other machine learning techniques

Senior Analytics Consultant

IBM

Herndon, VA

2012 - 2011

  • Supported decision making through use of Analytical Hierarchy Process and Logistic Regression.
  • Utilized SAS to create a fusion of disparate data sources for multiple analysts to use.

Operations Research Analyst

SAIC

McLean, VA

2011 - 2006

  • Created a simulation tool in Excel for planning missions to the moon
  • Performed a risk analysis for many transit authorities

Selected Projects

State Engagement to Address Opioid Overprescribing and Misuse

MITRE

N/A

2019 - 2017

  • To be filled in later.

Predictive Analytics in Child Welfare

MITRE

N/A

2017 - 2016

  • To be filled in later.

Real Time Predictive Modeling

Epsilon

N/A

2014

  • Design and implement a model to perform real time predictions.

Customer Attrition Analysis

Epsilon

N/A

2012

  • Using machine learning to predict which accounts are likely to be closed

Healthcare Claims Fraud

IBM

N/A

2010

  • Statistical approach to determining regional based fraud in healthcare claims.

NASA - Probabilistic Campaign Manifest Analysis Tool

SAIC

N/A

2009 - 2006

  • Optimizing allocation of resources to maximize mission success

Selected Writing

Predictive Analytics In Child Welfare: An Assessment Of Current Efforts, Challenges And Opportunities

MITRE

N/A

2017

  • This document explores the state of the use of predictive analytics in child welfare by conducting an environmental scan of child welfare agencies, academia, nonprofit organizations, and for-profit vendors.